EXPERIENCE SAMPLING METHODOLOGY (ESM) FOR ELICTING USER REQUIREMENTS IN MOBILE APPROXIMATE COMPUTING
DOI:
https://doi.org/10.24867/25BE08ZivkovicKeywords:
Android, Java, Aware, Weka Yandex, mobileAbstract
The exponential change in the way Information and Communication Technology is consumed has been so significant that there is an increasing awareness of the potential environmental effects. Underlying mobile hardware does not keep pace with the increased usage of mobile phones in everyday life, as well as the complexity of new apps which demand great energy resources. Limitations in battery technology are especially threatening further mobile computing evolution. A novel approach for reducing the energy appetite of mobile apps comes from the approximate computing field, which proposes techniques that, in a controlled manner sacrifice computation accuracy for higher energy savings. Following this train of thought, we built a context-aware framework that focuses on fulfilling users expectation while using the lowest amount of energy possible.
References
[2]https://link.springer.com/chapter/10.1007/978-3-319-31413-6_8
[3]Abdesslem et al. 2010; Froehlich et al. 2007
[4]http://lrss.fri.uni-lj.si/Veljko/docs/Pejovic18AMC.pdf
[5]https://ieeexplore.ieee.org/abstract/document/7092486
[6]file:///C:/Users/lunaz/OneDrive/Desktop/Master%20rad/haberl_silva_pmf_2017_diplo_sveuc.pdf
[7]https://www.theseus.fi/bitstream/handle/10024/133782/Lyytinen_Jere.pdf?sequence=1&isAllowed=y
[8]https://awareframework.com/what-is-aware/
[9]https://en.wikipedia.org/wiki/Weka_(machine_learning)
[10]https://yandex.com/dev/maps/mapsapi/?from=mapsapi
[11]https://link.springer.com/chapter/10.1007/978-1-4842-2943-9_3
[12]https://www.researchgate.net/profile/Chunnu-Khawas/publication/325791990_Application_of_Firebase_in_Android_App_DevelopmentA_Study/links/5bab55ed45851574f7e6801/Application-of-Firebase-in-Android-App-Development-A-Study.pdf
[13]https://www.simplilearn.com/tutorials/machine-learning-tutorial/random-forest-algorithm#:~:text=A%20Random%20Forest%20Algorithm%20is,more%20it%20will%20be%20robust
